Claude Fable 5.1 vs Trinity Large Thinking: API price and specs

Trinity Large Thinking is 95% cheaper than Claude Fable 5.1 on input price.

Trinity Large Thinking is 97% cheaper than Claude Fable 5.1 on output price.

Trinity Large Thinking is 96% cheaper than Claude Fable 5.1 on a 1M-in / 200k-out workload.

Claude Fable 5.1 has a 281.5% larger context than Trinity Large Thinking.

Field	Claude Fable 5.1	Trinity Large Thinking
Lowest input, per 1M	$5.00 +2048.1%	$0.23
Median input, per 1M	$10.00 +3900%	$0.25
Lowest output, per 1M	$25.00 +3025%	$0.80
Median output, per 1M	$50.00 +6150%	$0.80
Lowest unit price	—	—
Cost of 1M in + 200k out	$10.00 +2446.1%	$0.39
Context	1M	262K +73.8%
Max output	128K	80K +37.5%
Providers	30	5 +83.3%
Regions	EU, GLOBAL, US	—
Accepts	application/pdf, file, image, image/gif, image/jpeg, image/png, image/webp, pdf, text	text
Returns	text	text
Type	Text models	Text models
Free option	no	no
Cheapest provider	iteracompute	aiml

Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.

Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.

Providers selling both

aiml, digitalocean, kilo, openrouter, vercel

Frequently asked questions

Which is cheaper, Claude Fable 5.1 or Trinity Large Thinking?

Trinity Large Thinking is 95% cheaper than Claude Fable 5.1 on input price. Trinity Large Thinking is 97% cheaper than Claude Fable 5.1 on output price. Trinity Large Thinking is 96% cheaper than Claude Fable 5.1 on a 1M-in / 200k-out workload.

Which has the larger context, Claude Fable 5.1 or Trinity Large Thinking?

Claude Fable 5.1: 1M tokens; Trinity Large Thinking: 262K tokens.

Where can I use both Claude Fable 5.1 and Trinity Large Thinking?

aiml, digitalocean, kilo, openrouter, vercel